Overview

Dataset statistics

Number of variables44
Number of observations216044
Missing cells443865
Missing cells (%)4.7%
Duplicate rows1982
Duplicate rows (%)0.9%
Total size in memory72.5 MiB
Average record size in memory352.0 B

Variable types

CAT22
NUM21
BOOL1

Warnings

Dataset has 1982 (0.9%) duplicate rows Duplicates
UNIDADE_FEDERATIVA_CURSO is highly correlated with MUNICIPIO_CURSO and 1 other fieldsHigh correlation
MUNICIPIO_CURSO is highly correlated with UNIDADE_FEDERATIVA_CURSO and 1 other fieldsHigh correlation
REGIAO_CURSO is highly correlated with MUNICIPIO_CURSO and 1 other fieldsHigh correlation
ESTADO_CIVIL_ESTUDANTE has 13426 (6.2%) missing values Missing
COR_RACA_ESTUDANTE has 13426 (6.2%) missing values Missing
ESCOLARIDADE_PAI_ESTUDANTE has 13426 (6.2%) missing values Missing
ESCOLARIDADE_MAE_ESTUDANTE has 13426 (6.2%) missing values Missing
RESIDENCIA_ESTUDANTE has 13426 (6.2%) missing values Missing
COMPANHIA_RESIDENCIA_ESTUDANTE has 13426 (6.2%) missing values Missing
RENDA_FAMILIA_ESTUDANTE has 13426 (6.2%) missing values Missing
SITUACAO_FINANCEIRA_ESTUDANTE has 13426 (6.2%) missing values Missing
SITUACAO_TRABALHO_ESTUDANTE has 13426 (6.2%) missing values Missing
BOLSA_ESTUDO_ESTUDANTE has 13427 (6.2%) missing values Missing
AUXILIO_PERMANENCIA_ESTUDANTE has 13426 (6.2%) missing values Missing
BOLSA_ACADEMICA_ESTUDANTE has 13443 (6.2%) missing values Missing
ACAO_AFIRMATIVA_ESTUDANTE has 13443 (6.2%) missing values Missing
UNIDADE_FEDERATIVA_ESC_ENS_MEDIO has 13448 (6.2%) missing values Missing
CATEGORIA_ESCOLA_ENS_MEDIO has 13444 (6.2%) missing values Missing
MODALIDADE_ENS_MEDIO has 13443 (6.2%) missing values Missing
INCENTIVO_CURSO has 13444 (6.2%) missing values Missing
APOIO_DIFICULDADES_ESTUDANTE has 13443 (6.2%) missing values Missing
CURSO_SUPERIOR_FAMILIA has 13443 (6.2%) missing values Missing
HORAS_ESTUDO_SEMANA_ESTUDANTE has 13443 (6.2%) missing values Missing
MOTIVO_ESCOLHA_CURSO has 13464 (6.2%) missing values Missing
MOTIVO_ESCOLHA_IES has 13464 (6.2%) missing values Missing
RELACAO_PROFESSOR_ALUNO has 13471 (6.2%) missing values Missing
DEDICACAO_ESTUDOS has 13471 (6.2%) missing values Missing
UTILIZACAO_TICS has 13479 (6.2%) missing values Missing
QTDE_FUNCIONARIOS_IES has 13479 (6.2%) missing values Missing
PESSOAL_APOIO_IES has 13480 (6.2%) missing values Missing
INFRAESTRUTURA_SALAS_IES has 13481 (6.2%) missing values Missing
RECURSOS_AULAS_PRATICAS has 13479 (6.2%) missing values Missing
LOCAIS_AULAS_PRATICAS has 13479 (6.2%) missing values Missing
RECURSOS_BIBLIOTECA_IES has 13479 (6.2%) missing values Missing
BIBLIOTECA_VIRTUAL has 13479 (6.2%) missing values Missing
INFRAESTRUTURA_GERAL_IES has 13479 (6.2%) missing values Missing

Reproduction

Analysis started2020-10-06 12:15:01.967220
Analysis finished2020-10-06 12:19:20.991244
Duration4 minutes and 19.02 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

CODIGO_IES
Real number (ℝ≥0)

Distinct997
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1544.171599
Minimum1
Maximum19512
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:21.164478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29
Q1344
median621
Q31753
95-th percentile4786
Maximum19512
Range19511
Interquartile range (IQR)1409

Descriptive statistics

Standard deviation2440.365771
Coefficient of variation (CV)1.580372137
Kurtosis19.58178376
Mean1544.171599
Median Absolute Deviation (MAD)458
Skewness4.044320726
Sum333609009
Variance5955385.095
MonotocityNot monotonic
2020-10-06T09:19:21.422515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
29873023.4%
 
32265423.0%
 
16330071.4%
 
67129121.3%
 
37426041.2%
 
13524571.1%
 
31623261.1%
 
66321731.0%
 
283519410.9%
 
147218820.9%
 
Other values (987)18289884.7%
 
ValueCountFrequency (%) 
15100.2%
 
29590.4%
 
37830.4%
 
44120.2%
 
56930.3%
 
ValueCountFrequency (%) 
195121540.1%
 
1875984< 0.1%
 
1849288< 0.1%
 
1844027< 0.1%
 
1740127< 0.1%
 

CATEGORIA_ADMINISTRATIVA_IES
Real number (ℝ≥0)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8379.794297
Minimum93
Maximum17634
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:21.641212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile118
Q110002
median10005
Q310008
95-th percentile10008
Maximum17634
Range17541
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3666.826139
Coefficient of variation (CV)0.4375794929
Kurtosis1.279035506
Mean8379.794297
Median Absolute Deviation (MAD)3
Skewness-1.808784183
Sum1810404279
Variance13445613.93
MonotocityNot monotonic
2020-10-06T09:19:21.839588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
100057083532.8%
 
100086538130.3%
 
100022819313.0%
 
118142846.6%
 
121120525.6%
 
1000186164.0%
 
9353612.5%
 
11535541.6%
 
1000335541.6%
 
1000624141.1%
 
Other values (4)18000.8%
 
ValueCountFrequency (%) 
9353612.5%
 
11535541.6%
 
1162710.1%
 
118142846.6%
 
121120525.6%
 
ValueCountFrequency (%) 
1763416< 0.1%
 
100098250.4%
 
100086538130.3%
 
100076880.3%
 
1000624141.1%
 

ORGANIZACAO_ACADEMICA_IES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10024.6461
Minimum10019
Maximum10028
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:22.046612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10020
Q110022
median10026
Q310028
95-th percentile10028
Maximum10028
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.449364939
Coefficient of variation (CV)0.0003440884499
Kurtosis-1.806743751
Mean10024.6461
Median Absolute Deviation (MAD)2
Skewness-0.1560995008
Sum2165764643
Variance11.89811848
MonotocityNot monotonic
2020-10-06T09:19:22.234102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1002810713749.6%
 
100226286729.1%
 
100204250819.7%
 
1002634951.6%
 
1001937< 0.1%
 
ValueCountFrequency (%) 
1001937< 0.1%
 
100204250819.7%
 
100226286729.1%
 
1002634951.6%
 
1002810713749.6%
 
ValueCountFrequency (%) 
1002810713749.6%
 
1002634951.6%
 
100226286729.1%
 
100204250819.7%
 
1001937< 0.1%
 

CODIGO_CURSO
Real number (ℝ≥0)

Distinct4300
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371714.1275
Minimum7
Maximum5001183
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:22.457544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile5920
Q137979
median91897
Q3119916
95-th percentile1185675
Maximum5001183
Range5001176
Interquartile range (IQR)81937

Descriptive statistics

Standard deviation831990.5005
Coefficient of variation (CV)2.238253644
Kurtosis20.22310484
Mean371714.1275
Median Absolute Deviation (MAD)44191
Skewness4.245585479
Sum8.030660696e+10
Variance6.92208193e+11
MonotocityIncreasing
2020-10-06T09:19:22.707448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9799065113.0%
 
9757323151.1%
 
116498221391.0%
 
12109318540.9%
 
11173013150.6%
 
120411210040.5%
 
911296090.3%
 
1094185000.2%
 
11701144910.2%
 
379854900.2%
 
Other values (4290)19881692.0%
 
ValueCountFrequency (%) 
734< 0.1%
 
954< 0.1%
 
1235< 0.1%
 
1729< 0.1%
 
2019< 0.1%
 
ValueCountFrequency (%) 
50011833370.2%
 
500118010< 0.1%
 
50010535< 0.1%
 
50010215< 0.1%
 
500098084< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
1
195220 
0
20824 
ValueCountFrequency (%) 
119522090.4%
 
0208249.6%
 
2020-10-06T09:19:22.891999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

MUNICIPIO_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct578
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3351665.188
Minimum1100023
Maximum5300108
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:23.086704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1100023
5-th percentile1501402
Q12704302
median3306107
Q34106902
95-th percentile5201108
Maximum5300108
Range4200085
Interquartile range (IQR)1402600

Descriptive statistics

Standard deviation951382.9134
Coefficient of variation (CV)0.283853804
Kurtosis-0.05658949689
Mean3351665.188
Median Absolute Deviation (MAD)694501
Skewness-0.0675573095
Sum7.241071538e+11
Variance9.05129448e+11
MonotocityNot monotonic
2020-10-06T09:19:23.326569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3550308159057.4%
 
330455784263.9%
 
411370082663.8%
 
261160657632.7%
 
292740853392.5%
 
230440050832.4%
 
310620050772.3%
 
410690248342.2%
 
530010848192.2%
 
130260342942.0%
 
Other values (568)14823868.6%
 
ValueCountFrequency (%) 
11000231630.1%
 
11000493570.2%
 
110006443< 0.1%
 
11001145< 0.1%
 
11001221280.1%
 
ValueCountFrequency (%) 
530010848192.2%
 
522185862< 0.1%
 
522180931< 0.1%
 
522160139< 0.1%
 
52214032180.1%
 

UNIDADE_FEDERATIVA_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.3496834
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:23.543804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q127
median33
Q341
95-th percentile52
Maximum53
Range42
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.502930426
Coefficient of variation (CV)0.2849481452
Kurtosis-0.05299169597
Mean33.3496834
Median Absolute Deviation (MAD)7
Skewness-0.03440759666
Sum7204999
Variance90.30568668
MonotocityNot monotonic
2020-10-06T09:19:23.731261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
354684221.7%
 
312171710.1%
 
41212969.9%
 
33168597.8%
 
43113125.2%
 
2998024.5%
 
2689614.1%
 
2384103.9%
 
4279663.7%
 
5269523.2%
 
Other values (17)5592725.9%
 
ValueCountFrequency (%) 
1121561.0%
 
1212840.6%
 
1344472.1%
 
145300.2%
 
1545032.1%
 
ValueCountFrequency (%) 
5348192.2%
 
5269523.2%
 
5132771.5%
 
5049512.3%
 
43113125.2%
 

REGIAO_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.987997815
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:24.125968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.04319462
Coefficient of variation (CV)0.3491283075
Kurtosis-0.4013511148
Mean2.987997815
Median Absolute Deviation (MAD)1
Skewness0.1290404934
Sum645539
Variance1.088255016
MonotocityNot monotonic
2020-10-06T09:19:24.332765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
38800940.7%
 
25175924.0%
 
44057418.8%
 
5199999.3%
 
1157037.3%
 
ValueCountFrequency (%) 
1157037.3%
 
25175924.0%
 
38800940.7%
 
44057418.8%
 
5199999.3%
 
ValueCountFrequency (%) 
5199999.3%
 
44057418.8%
 
38800940.7%
 
25175924.0%
 
1157037.3%
 

IDADE_ESTUDANTE
Real number (ℝ≥0)

Distinct64
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.19434004
Minimum17
Maximum89
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:24.550960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile21
Q123
median25
Q331
95-th percentile44
Maximum89
Range72
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.623133535
Coefficient of variation (CV)0.2703781512
Kurtosis2.801175052
Mean28.19434004
Median Absolute Deviation (MAD)3
Skewness1.641594089
Sum6091218
Variance58.11216489
MonotocityNot monotonic
2020-10-06T09:19:24.799833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
222644412.2%
 
232495911.6%
 
24213869.9%
 
25171597.9%
 
21160847.4%
 
26130376.0%
 
27107015.0%
 
2890824.2%
 
2976893.6%
 
3067073.1%
 
Other values (54)6279629.1%
 
ValueCountFrequency (%) 
172< 0.1%
 
1855< 0.1%
 
193440.2%
 
2033021.5%
 
21160847.4%
 
ValueCountFrequency (%) 
891< 0.1%
 
852< 0.1%
 
841< 0.1%
 
831< 0.1%
 
772< 0.1%
 

SEXO_ESTUDANTE
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
F
155100 
M
60937 
N
 
7
ValueCountFrequency (%) 
F15510071.8%
 
M6093728.2%
 
N7< 0.1%
 
2020-10-06T09:19:25.044698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:25.210654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:25.397053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ANO_INICIO_GRADUACAO
Real number (ℝ≥0)

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.239164
Minimum1980
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:25.608294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1980
5-th percentile2010
Q12012
median2012
Q32013
95-th percentile2015
Maximum2016
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.567187815
Coefficient of variation (CV)0.000778827807
Kurtosis8.281298029
Mean2012.239164
Median Absolute Deviation (MAD)1
Skewness-1.220117554
Sum434732198
Variance2.456077649
MonotocityNot monotonic
2020-10-06T09:19:25.821279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
20136821831.6%
 
20126779731.4%
 
20113361615.6%
 
2014148336.9%
 
2010100884.7%
 
201578313.6%
 
201651672.4%
 
200939171.8%
 
200819520.9%
 
200710840.5%
 
Other values (19)15410.7%
 
ValueCountFrequency (%) 
19801< 0.1%
 
19871< 0.1%
 
19902< 0.1%
 
19913< 0.1%
 
19922< 0.1%
 
ValueCountFrequency (%) 
201651672.4%
 
201578313.6%
 
2014148336.9%
 
20136821831.6%
 
20126779731.4%
 

ESTADO_CIVIL_ESTUDANTE
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
150198 
B
39528 
C
 
6218
E
 
6034
D
 
640
ValueCountFrequency (%) 
A15019869.5%
 
B3952818.3%
 
C62182.9%
 
E60342.8%
 
D6400.3%
 
(Missing)134266.2%
 
2020-10-06T09:19:26.071183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:26.249522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:26.478353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

COR_RACA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
104460 
D
71197 
B
17619 
C
 
5440
F
 
3184
ValueCountFrequency (%) 
A10446048.4%
 
D7119733.0%
 
B176198.2%
 
C54402.5%
 
F31841.5%
 
E7180.3%
 
(Missing)134266.2%
 
2020-10-06T09:19:26.706579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:26.887206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:27.121527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

ESCOLARIDADE_PAI_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
D
62319 
B
56719 
C
30364 
E
29448 
A
13327 
ValueCountFrequency (%) 
D6231928.8%
 
B5671926.3%
 
C3036414.1%
 
E2944813.6%
 
A133276.2%
 
F104414.8%
 
(Missing)134266.2%
 
2020-10-06T09:19:27.355342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:27.527755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:27.776961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

ESCOLARIDADE_MAE_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
D
65774 
B
46808 
E
33227 
C
28426 
F
19471 
ValueCountFrequency (%) 
D6577430.4%
 
B4680821.7%
 
E3322715.4%
 
C2842613.2%
 
F194719.0%
 
A89124.1%
 
(Missing)134266.2%
 
2020-10-06T09:19:28.001177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:28.172975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:28.407527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

RESIDENCIA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
B
110093 
C
53517 
A
19594 
D
17022 
F
 
1624
ValueCountFrequency (%) 
B11009351.0%
 
C5351724.8%
 
A195949.1%
 
D170227.9%
 
F16240.8%
 
E7680.4%
 
(Missing)134266.2%
 
2020-10-06T09:19:28.791555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:28.956144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:29.190464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1
Distinct8
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
D
48391 
C
43429 
B
30280 
E
30096 
A
27963 
Other values (3)
22459 
ValueCountFrequency (%) 
D4839122.4%
 
C4342920.1%
 
B3028014.0%
 
E3009613.9%
 
A2796312.9%
 
F136606.3%
 
G52592.4%
 
H35401.6%
 
(Missing)134266.2%
 
2020-10-06T09:19:29.413110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:29.584942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:29.846226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

RENDA_FAMILIA_ESTUDANTE
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
B
59829 
A
42465 
C
36709 
D
26677 
E
20391 
Other values (2)
16547 
ValueCountFrequency (%) 
B5982927.7%
 
A4246519.7%
 
C3670917.0%
 
D2667712.3%
 
E203919.4%
 
F138196.4%
 
G27281.3%
 
(Missing)134266.2%
 
2020-10-06T09:19:30.072337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:30.260239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:30.497562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1
Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
B
89795 
C
43398 
E
25932 
A
19657 
D
13068 
ValueCountFrequency (%) 
B8979541.6%
 
C4339820.1%
 
E2593212.0%
 
A196579.1%
 
D130686.0%
 
F107685.0%
 
(Missing)134266.2%
 
2020-10-06T09:19:30.731915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:30.906620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:31.156564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

SITUACAO_TRABALHO_ESTUDANTE
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
113178 
E
43274 
D
19059 
B
15497 
C
11610 
ValueCountFrequency (%) 
A11317852.4%
 
E4327420.0%
 
D190598.8%
 
B154977.2%
 
C116105.4%
 
(Missing)134266.2%
 
2020-10-06T09:19:31.385607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:31.551429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:31.775364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

BOLSA_ESTUDO_ESTUDANTE
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing13427
Missing (%)6.2%
Memory size1.6 MiB
B
59762 
E
54767 
A
41687 
H
15042 
C
12935 
Other values (6)
18424 
ValueCountFrequency (%) 
B5976227.7%
 
E5476725.3%
 
A4168719.3%
 
H150427.0%
 
C129356.0%
 
G59512.8%
 
I34541.6%
 
F32071.5%
 
D24761.1%
 
J22621.0%
 
(Missing)134276.2%
 
2020-10-06T09:19:32.024041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:32.242792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124298754
Min length1
Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
184596 
F
 
6695
E
 
5232
C
 
2768
D
 
1809
ValueCountFrequency (%) 
A18459685.4%
 
F66953.1%
 
E52322.4%
 
C27681.3%
 
D18090.8%
 
B15180.7%
 
(Missing)134266.2%
 
2020-10-06T09:19:32.492364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:32.652995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:32.891002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124289497
Min length1

BOLSA_ACADEMICA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
156000 
B
17240 
F
 
11629
D
 
7518
C
 
7258
ValueCountFrequency (%) 
A15600072.2%
 
B172408.0%
 
F116295.4%
 
D75183.5%
 
C72583.4%
 
E29561.4%
 
(Missing)134436.2%
 
2020-10-06T09:19:33.124809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:33.314415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:33.553937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124446872
Min length1

ACAO_AFIRMATIVA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
161294 
D
 
14558
C
 
12492
E
 
7163
F
 
4167
ValueCountFrequency (%) 
A16129474.7%
 
D145586.7%
 
C124925.8%
 
E71633.3%
 
F41671.9%
 
B29271.4%
 
(Missing)134436.2%
 
2020-10-06T09:19:33.925769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:34.100923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:34.332750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124446872
Min length1

UNIDADE_FEDERATIVA_ESC_ENS_MEDIO
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)< 0.1%
Missing13448
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean32.63306778
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:34.567073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q126
median33
Q335
95-th percentile52
Maximum99
Range88
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.24084162
Coefficient of variation (CV)0.3138179251
Kurtosis3.602394465
Mean32.63306778
Median Absolute Deviation (MAD)7
Skewness0.6922112948
Sum6611329
Variance104.8748371
MonotocityNot monotonic
2020-10-06T09:19:34.781409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
353953818.3%
 
312299410.6%
 
33144836.7%
 
29128145.9%
 
41127465.9%
 
43117155.4%
 
2693094.3%
 
2391954.3%
 
5277633.6%
 
1566273.1%
 
Other values (18)5541225.6%
 
(Missing)134486.2%
 
ValueCountFrequency (%) 
1124921.2%
 
1213920.6%
 
1337881.8%
 
145690.3%
 
1566273.1%
 
ValueCountFrequency (%) 
994890.2%
 
5340761.9%
 
5277633.6%
 
5135911.7%
 
5028001.3%
 

CATEGORIA_ESCOLA_ENS_MEDIO
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13444
Missing (%)6.2%
Memory size1.6 MiB
A
126269 
B
54793 
D
 
11940
E
 
9053
F
 
364
ValueCountFrequency (%) 
A12626958.4%
 
B5479325.4%
 
D119405.5%
 
E90534.2%
 
F3640.2%
 
C1810.1%
 
(Missing)134446.2%
 
2020-10-06T09:19:35.005763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:35.185081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:35.414880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124456129
Min length1

MODALIDADE_ENS_MEDIO
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
169883 
B
 
15043
D
 
11007
C
 
5040
E
 
1628
ValueCountFrequency (%) 
A16988378.6%
 
B150437.0%
 
D110075.1%
 
C50402.3%
 
E16280.8%
 
(Missing)134436.2%
 
2020-10-06T09:19:35.657556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:35.838413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:36.057110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124446872
Min length1

INCENTIVO_CURSO
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing13444
Missing (%)6.2%
Memory size1.6 MiB
B
133177 
A
31812 
C
16937 
F
 
10624
G
 
6004
Other values (2)
 
4046
ValueCountFrequency (%) 
B13317761.6%
 
A3181214.7%
 
C169377.8%
 
F106244.9%
 
G60042.8%
 
D35521.6%
 
E4940.2%
 
(Missing)134446.2%
 
2020-10-06T09:19:36.298133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:36.465417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:36.711055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124456129
Min length1
Distinct11
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
C
93120 
A
52898 
G
14831 
K
13299 
B
 
8517
Other values (6)
19936 
ValueCountFrequency (%) 
C9312043.1%
 
A5289824.5%
 
G148316.9%
 
K132996.2%
 
B85173.9%
 
H76053.5%
 
E51872.4%
 
D32871.5%
 
J22521.0%
 
I8950.4%
 
(Missing)134436.2%
 
2020-10-06T09:19:36.935749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:37.170069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124446872
Min length1

CURSO_SUPERIOR_FAMILIA
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
136776 
B
65825 
ValueCountFrequency (%) 
A13677663.3%
 
B6582530.5%
 
(Missing)134436.2%
 
2020-10-06T09:19:37.404785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:37.576644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:37.780396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124446872
Min length1
Distinct5
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
B
87153 
C
60224 
D
26026 
E
23331 
A
 
5867
ValueCountFrequency (%) 
B8715340.3%
 
C6022427.9%
 
D2602612.0%
 
E2333110.8%
 
A58672.7%
 
(Missing)134436.2%
 
2020-10-06T09:19:38.016339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:38.203796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:38.425864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124446872
Min length1

MOTIVO_ESCOLHA_CURSO
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13464
Missing (%)6.2%
Memory size1.6 MiB
E
91240 
H
35470 
A
32739 
C
19651 
B
17526 
Other values (3)
 
5954
ValueCountFrequency (%) 
E9124042.2%
 
H3547016.4%
 
A3273915.2%
 
C196519.1%
 
B175268.1%
 
D24261.1%
 
F21321.0%
 
G13960.6%
 
(Missing)134646.2%
 
2020-10-06T09:19:38.644597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:38.977981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:39.225431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124641277
Min length1

MOTIVO_ESCOLHA_IES
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13464
Missing (%)6.2%
Memory size1.6 MiB
F
74709 
C
34912 
A
21799 
I
19763 
B
15815 
Other values (4)
35582 
ValueCountFrequency (%) 
F7470934.6%
 
C3491216.2%
 
A2179910.1%
 
I197639.1%
 
B158157.3%
 
E142046.6%
 
H130576.0%
 
G52302.4%
 
D30911.4%
 
(Missing)134646.2%
 
2020-10-06T09:19:39.478855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T09:19:39.650727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:39.920979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.124641277
Min length1

RELACAO_PROFESSOR_ALUNO
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.333790782
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:40.124058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.07011161
Coefficient of variation (CV)0.2006287186
Kurtosis3.297839076
Mean5.333790782
Median Absolute Deviation (MAD)0
Skewness-1.724441358
Sum1080482
Variance1.145138858
MonotocityNot monotonic
2020-10-06T09:19:40.322181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612044955.8%
 
54517920.9%
 
42168910.0%
 
372743.4%
 
237261.7%
 
124381.1%
 
711190.5%
 
86990.3%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
124381.1%
 
237261.7%
 
372743.4%
 
42168910.0%
 
54517920.9%
 
ValueCountFrequency (%) 
86990.3%
 
711190.5%
 
612044955.8%
 
54517920.9%
 
42168910.0%
 

DEDICACAO_ESTUDOS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.594852226
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:40.518824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8414383176
Coefficient of variation (CV)0.1503950924
Kurtosis7.239729532
Mean5.594852226
Median Absolute Deviation (MAD)0
Skewness-2.405247269
Sum1133366
Variance0.7080184423
MonotocityNot monotonic
2020-10-06T09:19:40.721901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614708868.1%
 
53525916.3%
 
4121665.6%
 
339241.8%
 
218640.9%
 
19980.5%
 
78110.4%
 
84630.2%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
19980.5%
 
218640.9%
 
339241.8%
 
4121665.6%
 
53525916.3%
 
ValueCountFrequency (%) 
84630.2%
 
78110.4%
 
614708868.1%
 
53525916.3%
 
4121665.6%
 

UTILIZACAO_TICS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.554592353
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:40.916672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9474646828
Coefficient of variation (CV)0.1705732163
Kurtosis6.160433457
Mean5.554592353
Median Absolute Deviation (MAD)0
Skewness-2.219733755
Sum1125166
Variance0.8976893252
MonotocityNot monotonic
2020-10-06T09:19:41.132820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614342366.4%
 
53375215.6%
 
4133276.2%
 
349122.3%
 
226261.2%
 
717070.8%
 
117030.8%
 
811150.5%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
117030.8%
 
226261.2%
 
349122.3%
 
4133276.2%
 
53375215.6%
 
ValueCountFrequency (%) 
811150.5%
 
717070.8%
 
614342366.4%
 
53375215.6%
 
4133276.2%
 

QTDE_FUNCIONARIOS_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.225340014
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:41.324703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.274758034
Coefficient of variation (CV)0.2439569541
Kurtosis2.338083155
Mean5.225340014
Median Absolute Deviation (MAD)0
Skewness-1.562896469
Sum1058471
Variance1.625008045
MonotocityNot monotonic
2020-10-06T09:19:41.526277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611712054.2%
 
54023318.6%
 
4213579.9%
 
394034.4%
 
256782.6%
 
156262.6%
 
819310.9%
 
712170.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
156262.6%
 
256782.6%
 
394034.4%
 
4213579.9%
 
54023318.6%
 
ValueCountFrequency (%) 
819310.9%
 
712170.6%
 
611712054.2%
 
54023318.6%
 
4213579.9%
 

PESSOAL_APOIO_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13480
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.188231867
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:41.729321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.374341435
Coefficient of variation (CV)0.2648959164
Kurtosis1.76407968
Mean5.188231867
Median Absolute Deviation (MAD)0
Skewness-1.446388607
Sum1050949
Variance1.888814379
MonotocityNot monotonic
2020-10-06T09:19:41.920730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611510153.3%
 
53647616.9%
 
4209169.7%
 
3100304.6%
 
271403.3%
 
171353.3%
 
733341.5%
 
824321.1%
 
(Missing)134806.2%
 
ValueCountFrequency (%) 
171353.3%
 
271403.3%
 
3100304.6%
 
4209169.7%
 
53647616.9%
 
ValueCountFrequency (%) 
824321.1%
 
733341.5%
 
611510153.3%
 
53647616.9%
 
4209169.7%
 

INFRAESTRUTURA_SALAS_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13481
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.116896965
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:42.123652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.329229707
Coefficient of variation (CV)0.2597726154
Kurtosis1.693062798
Mean5.116896965
Median Absolute Deviation (MAD)0
Skewness-1.509009147
Sum1036494
Variance1.766851615
MonotocityNot monotonic
2020-10-06T09:19:42.328301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611239052.0%
 
54060118.8%
 
42289710.6%
 
3109205.1%
 
272633.4%
 
166243.1%
 
712930.6%
 
85750.3%
 
(Missing)134816.2%
 
ValueCountFrequency (%) 
166243.1%
 
272633.4%
 
3109205.1%
 
42289710.6%
 
54060118.8%
 
ValueCountFrequency (%) 
85750.3%
 
712930.6%
 
611239052.0%
 
54060118.8%
 
42289710.6%
 

RECURSOS_AULAS_PRATICAS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.031106065
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:42.533757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.458226404
Coefficient of variation (CV)0.2898421113
Kurtosis0.9716125407
Mean5.031106065
Median Absolute Deviation (MAD)0
Skewness-1.290853564
Sum1019126
Variance2.126424245
MonotocityNot monotonic
2020-10-06T09:19:42.720883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
610460048.4%
 
53878618.0%
 
42330810.8%
 
3122185.7%
 
190884.2%
 
289054.1%
 
744682.1%
 
811920.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
190884.2%
 
289054.1%
 
3122185.7%
 
42330810.8%
 
53878618.0%
 
ValueCountFrequency (%) 
811920.6%
 
744682.1%
 
610460048.4%
 
53878618.0%
 
42330810.8%
 

LOCAIS_AULAS_PRATICAS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.135359021
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:42.923788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.382131709
Coefficient of variation (CV)0.2691402303
Kurtosis1.407220589
Mean5.135359021
Median Absolute Deviation (MAD)0
Skewness-1.381106715
Sum1040244
Variance1.910288062
MonotocityNot monotonic
2020-10-06T09:19:43.115816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
610941650.6%
 
53875617.9%
 
42186310.1%
 
3111755.2%
 
282553.8%
 
167643.1%
 
749712.3%
 
813650.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
167643.1%
 
282553.8%
 
3111755.2%
 
42186310.1%
 
53875617.9%
 
ValueCountFrequency (%) 
813650.6%
 
749712.3%
 
610941650.6%
 
53875617.9%
 
42186310.1%
 

RECURSOS_BIBLIOTECA_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.264418829
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:43.315974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.243325417
Coefficient of variation (CV)0.236175247
Kurtosis2.434490226
Mean5.264418829
Median Absolute Deviation (MAD)0
Skewness-1.601873156
Sum1066387
Variance1.545858093
MonotocityNot monotonic
2020-10-06T09:19:43.503467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612099356.0%
 
53870017.9%
 
4196169.1%
 
394584.4%
 
263222.9%
 
144402.1%
 
817550.8%
 
712810.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
144402.1%
 
263222.9%
 
394584.4%
 
4196169.1%
 
53870017.9%
 
ValueCountFrequency (%) 
817550.8%
 
712810.6%
 
612099356.0%
 
53870017.9%
 
4196169.1%
 

BIBLIOTECA_VIRTUAL
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.26711426
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:43.712645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.511540392
Coefficient of variation (CV)0.2869769513
Kurtosis1.501361291
Mean5.26711426
Median Absolute Deviation (MAD)0
Skewness-1.237441582
Sum1066933
Variance2.284754357
MonotocityNot monotonic
2020-10-06T09:19:44.051788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611416452.8%
 
53260215.1%
 
4177838.2%
 
193034.3%
 
891064.2%
 
388774.1%
 
272173.3%
 
735131.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
193034.3%
 
272173.3%
 
388774.1%
 
4177838.2%
 
53260215.1%
 
ValueCountFrequency (%) 
891064.2%
 
735131.6%
 
611416452.8%
 
53260215.1%
 
4177838.2%
 

INFRAESTRUTURA_GERAL_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.057028608
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-10-06T09:19:44.246175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.456787236
Coefficient of variation (CV)0.2880717807
Kurtosis1.081372596
Mean5.057028608
Median Absolute Deviation (MAD)0
Skewness-1.400577985
Sum1024377
Variance2.122229051
MonotocityNot monotonic
2020-10-06T09:19:44.458782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611451153.0%
 
53377615.6%
 
4206939.6%
 
3119995.6%
 
295044.4%
 
191214.2%
 
721551.0%
 
88060.4%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
191214.2%
 
295044.4%
 
3119995.6%
 
4206939.6%
 
53377615.6%
 
ValueCountFrequency (%) 
88060.4%
 
721551.0%
 
611451153.0%
 
53377615.6%
 
4206939.6%
 

Interactions

2020-10-06T09:16:56.453021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:56.829842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:57.126642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:57.426761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:57.729809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:58.021931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:58.312764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:58.617639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:58.915586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:59.212392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:59.518727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:16:59.810030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:00.126858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:00.425215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:00.737603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:01.038610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:01.345164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:01.652188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:01.960872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:02.265086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:02.707045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:03.014714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:03.305348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:03.588914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:03.869833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:04.170418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:04.449855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:04.737361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:05.059969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:05.357817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:05.662022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:05.936804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:06.232151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:06.518869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:06.817101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:07.113907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:07.427861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:07.724665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:08.023772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:08.328012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:08.621621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:08.937780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:09.234548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:09.532760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:09.827375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:10.131300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:10.438189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:10.713138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:11.139984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:11.456863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:11.753246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:12.052016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:12.350430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:12.650728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:12.961417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:13.266214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:13.588638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:13.934098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:14.239069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:14.544025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:14.841316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:15.122498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:15.424610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:15.705754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:16.003000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:16.304214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:16.582880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:16.865856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:17.147039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:17.423817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:17.720579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:18.031857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:18.307600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:18.596065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:18.888074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:19.177380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:19.604018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:19.906032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:20.185257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:20.491719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:20.782424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:21.067893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:21.364310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:21.650134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:21.944392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:22.230837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:22.524231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:22.807101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:23.072668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:23.356058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:23.621586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:23.933311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:24.233756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:24.515006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:24.796933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:25.078161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:25.378734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:17:25.659883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T09:18:28.282280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T09:18:29.486310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:29.790104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T09:18:30.386413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:30.681716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:31.007089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T09:18:31.612232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:31.909590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:32.208805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:32.488714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:32.802356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T09:18:33.366554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:33.688388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T09:18:35.342390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:35.639195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:35.938445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:36.235249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:36.550019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:36.858553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:37.147812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:37.462396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:37.768906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:38.059825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:38.368067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:38.657428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:38.960123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:39.257459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:39.540228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:39.825964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:40.139037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:40.437716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:40.735459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:41.033198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:41.345357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:41.646958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:41.941301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:42.396704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:42.686997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:42.992268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:43.312168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:43.604460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:43.902428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:44.199192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:44.511271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:44.811792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:45.108638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:45.392132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:45.688897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:45.974385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:46.276747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:46.569944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:46.893601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:47.184189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:47.469519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:47.792572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:48.082960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:48.384447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:48.695255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:48.979996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:49.298904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:49.594305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:49.890595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:50.191376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:50.648638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:50.939893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:51.245022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:51.535559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:51.817827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:52.114625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:52.415101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:52.696285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:53.008947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:53.307509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:53.604355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:53.888498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:54.185303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:54.501758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:54.805538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:55.099622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:55.414607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:55.711419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:56.012317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:56.317253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:56.640525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:56.942955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:57.238328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:57.538686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:57.838123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:58.136116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:58.417774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:58.872966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:59.158707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:59.468837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:18:59.770128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:00.062713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:00.361342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:00.669881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:00.955943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:01.251729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:01.555780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:01.867735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:02.163886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:02.462403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:02.770567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:03.074685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:03.375274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:03.672038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:03.973410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:04.282034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:04.569089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:04.860475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:05.151798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:05.451972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:05.748193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:06.064851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:06.350586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:06.646796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:07.103533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:07.399918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:07.700807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:07.996317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:08.304914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:08.591128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:08.888922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:09.195893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:09.499929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:09.798079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-06T09:19:44.688565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-06T09:19:45.163653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-06T09:19:45.573132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-06T09:19:46.042828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-10-06T09:19:46.607110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-10-06T09:19:11.267744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:14.040312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:17.825918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T09:19:19.987980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

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Last rows

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216039163100051002850011831330455733325M2014AAFFBCEBAEAAA24.0BABCAEEG6.06.06.06.06.06.06.06.06.06.05.0
216040163100051002850011831330455733329F2014AAADDACBACEDD31.0BABCBCHI5.06.04.05.02.05.05.04.04.03.03.0
216041163100051002850011831330455733332F2014AADFCCECDEAAA33.0BABAAEEF6.06.06.06.06.06.06.06.06.06.06.0
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216043163100051002850011831330455733328M2014AAFEBCFBABAAA31.0EABAACHF5.06.05.05.05.05.06.06.06.05.06.0

Duplicate rows

Most frequent

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019100081002816311350950235324M2013AADDBCCBACEBE35.0BABCBCEF6.06.06.06.06.06.06.06.06.06.06.02
1190100081002253451330455733325F2011AAFFBDGBABAAA33.0BABGACEG6.06.06.06.06.06.06.06.06.06.06.02
232210008100281210930355030835331F2013ADDDCDAEDBAAA15.0AAAAACEF6.06.06.06.06.06.06.06.06.06.06.02
3322100081002850004181355030835321F2013ADDBBFBCDCAAE35.0BABCABHC6.06.06.06.07.06.06.06.06.06.06.02
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55061000810022102891330100933337M2011AABDBCEEEBAAA33.0ABBCABEC4.04.06.06.05.06.02.02.06.06.06.02
612441000510022863561320530932323F2010AADDBBEBAEADA32.0DABCACBI6.06.06.06.06.06.06.06.06.06.06.02
714301000810020492271411520041422F2012AADCBDBBABAAA41.0AAACBBHB8.06.06.06.06.06.06.06.06.06.06.02
8214711810022987461130260313122F2012ADDEBEBBAEAAA13.0AABAABEB6.06.06.06.06.06.06.06.06.06.06.02
93194100051002211108691310620031326F2012AABBBDEEEBAAA31.0AABABDAB5.06.06.05.05.05.04.04.04.08.05.02